Using psycho-physiological measures to assess task difficulty in software development
Abstract
Software developers make programming mistakes that cause serious bugs for their customers. Existing work to detect problematic software focuses mainly on post hoc identification of correlations between bug fixes and code. We propose a new approach to address this problem --- detect when software developers are experiencing difficulty while they work on their programming tasks, and stop them before they can introduce bugs into the code.
BibTeX
@inproceedings{Fritz-al:ICSE14,
author = {Thomas Fritz and
Andrew Begel and
Sebastian C. M{\"{u}}ller and
Serap Yigit{-}Elliott and
Manuela Z{\"{u}}ger},
title = {Using psycho-physiological measures to assess task difficulty in software development},
booktitle = {ICSE},
pages = {402--413},
publisher = {{ACM}},
year = {2014},
}